一种基于颜色分量离散度的火焰识别模型

摘要

针对在视频火灾探测中，传统的火焰颜色模型适应性差、易受环境因素干扰的问题，利用火焰的分层特性，将火焰颜色分量的离散度作为研究对象，选取颜色 B 分量标准差作为火焰和干扰源的判别依据，提出了一种新的火焰颜色模型。通过绘制大样本数据的 ROC 曲线确定了判断阈值的大小。实验证明：该颜色模型能够排除常见干扰源的影响，准确地进行火灾预警。%In the field of video fire detection ,traditional flame color models have the poor adaptability and week robustness to interference .Therefore ,a new flame recognition model referring to the disper‐sion of flame color components is proposed .The threshold of Blue component standard deviation is calculated out by drawing the ROC curve of detecting results based on large number of sample images . A series of experiment results show that the proposed color model can eliminate the influence of com‐mon interferences ,and prompt the fire warning correctly ,which has a certain practical significance for indoor fire detection .